Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Fabio Schittler Neves"'
Publikováno v:
IEEE Access, Vol 11, Pp 145503-145515 (2023)
Spiking neural network models characterize the emergent collective dynamics of circuits of biological neurons and help engineer neuro-inspired solutions across fields. Most dynamical systems’ models of spiking neural networks typically exhibit one
Externí odkaz:
https://doaj.org/article/77c9e2567c9b4f29adccb274aa0c643d
Autor:
Fabio Schittler Neves, Marc Timme
Publikováno v:
IEEE Access, Vol 11, Pp 88649-88655 (2023)
How spiking neuronal networks encode memories in their different time and spatial scales constitute a fundamental topic in neuroscience and neuro-inspired engineering. Much attention has been paid to large networks and long-term memory, for example i
Externí odkaz:
https://doaj.org/article/c48a718878504ecaa3d1ea7de0a3a664
Autor:
Fabio Schittler Neves, Marc Timme
Publikováno v:
IEEE Access, Vol 8, Pp 179648-179655 (2020)
The computation of rank ordering plays a fundamental role in cognitive tasks and offers a basic building block for computing arbitrary digital functions. Spiking neural networks have been demonstrated to be capable of identifying the largest k out of
Externí odkaz:
https://doaj.org/article/e60a2fcfc4ae41ee9314030812a5e781
Biological neural systems encode and transmit information as patterns of activity tracing complex trajectories in high-dimensional state spaces, inspiring alternative paradigms of information processing. Heteroclinic networks, naturally emerging in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16d00deff477c917c637d5af73de44bc
http://arxiv.org/abs/2110.12221
http://arxiv.org/abs/2110.12221
Autor:
Fabio Schittler Neves, Marc Timme
Publikováno v:
Journal of Physics: Complexity. 2:045019
The field of bio-inspired computing has established a new Frontier for conceptualizing information processing, aggregating knowledge from disciplines as different as neuroscience, physics, computer science and dynamical systems theory. The study of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33475985eed44bd5ee1e9412d58d559f
https://doi.org/10.1088/2632-072x/ac3ad4
https://doi.org/10.1088/2632-072x/ac3ad4
Publikováno v:
Chaos (Woodbury, N.Y.). 27(3)
Heteroclinic computing offers a novel paradigm for universal computation by collective system dynamics. In such a paradigm, input signals are encoded as complex periodic orbits approaching specific sequences of saddle states. Without inputs, the rele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40b054aab2b4f563d265c080bf1a5330
https://pubmed.ncbi.nlm.nih.gov/28364740
https://pubmed.ncbi.nlm.nih.gov/28364740
Autor:
Marc Timme, Fabio Schittler Neves
Publikováno v:
Physical review letters. 109(1)
Complex networks of dynamically connected saddle states persistently emerge in a broad range of highdimensional systems and may reliably encode inputs as specific switching trajectories. Their computational capabilities, however, are far from being u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63e40489d2a147c59ea2638a27c0399b
https://pubmed.ncbi.nlm.nih.gov/23031136
https://pubmed.ncbi.nlm.nih.gov/23031136
Publikováno v:
Journal of Statistical Mechanics: Theory and Experiment
Layered neural networks are feedforward structures that yield robust parallel and distributed pattern recognition. Even though much attention has been paid to pattern retrieval properties in such systems, many aspects of their dynamics are not yet we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad24c4dfd7c7d41ea6bc5a5e4e92adb0
https://doi.org/10.1088/1742-5468/2015/07/p07022
https://doi.org/10.1088/1742-5468/2015/07/p07022
Autor:
Fabio Schittler Neves, Marc Timme
Publikováno v:
Journal of Physics A: Mathematical and Theoretical. 42:345103
Pulse-coupled systems such as spiking neural networks exhibit nontrivial invariant sets in the form of attracting yet unstable saddle periodic orbits where units are synchronized into groups. Heteroclinic connections between such orbits may in princi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7cc18bda044502ea931079ea7c35e13
https://doi.org/10.1088/1751-8113/42/34/345103
https://doi.org/10.1088/1751-8113/42/34/345103
Publikováno v:
Journal of Statistical Mechanics: Theory & Experiment; Jul2015, Vol. 2015 Issue 7, p1-1, 1p